Things might go wrong in a data-intensive application

Fri September 10, 02:15 PM–02:45 PM • Back to program

Session Type	Pre-Recorded
Start time	14:15
End time	14:45
Countdown link	Open timer

We are going to go behind the scene of building a data-intensive system. The story includes challenges I have faced and what I learned from those incidents.

We always want to do things right at the very first. Have a faultless architecture design, 100% test coverage, things like that. However, after running a data-intensive system for many years, I realize so many unimaginable things can happen in production.

This talk will help audiences avoid making the same mistakes so they don’t suffer as I did. Audiences may be inspired by this talk and help them to build a scalable and reliable system that stands the test of time.

Petertc Chu

Open-source enthusiast, Pythoneer.

Research engineer worked on backend/SRE/DevOps, experienced in implementing and maintaining distributed/software-defined storage at scale.

http://hrchu.github.io